TY - JOUR
T1 - Applications of Brain–Machine Interface Systems in Stroke Recovery and Rehabilitation
AU - Venkatakrishnan, Anusha
AU - Francisco, Gerard E.
AU - L. Contreras-Vidal, Jose
N1 - Funding Information:
A Venkatakrishnan declares no conflicts of interest. GE Francisco has received research support from the NIH and the TIRR Foundation. JL Contreras-Vidal has received research support from the NIH, NSF, Cullen Foundation and TIRR Foundation.
Funding Information:
The authors were supported by the National Institute of Neurological Diseases and Stroke (NINDS) Award No. NS081854.
Publisher Copyright:
© 2014, Springer Science + Business Media New York.
PY - 2014/6/1
Y1 - 2014/6/1
N2 - Stroke is a leading cause of disability, significantly impacting the quality of life (QOL) in survivors, and rehabilitation remains the mainstay of treatment in these patients. Recent engineering and technological advances such as brain–machine interfaces (BMI) and robotic rehabilitative devices are promising to enhance stroke neurorehabilitation, to accelerate functional recovery and improve QOL. This review discusses the recent applications of BMI and robotic-assisted rehabilitation in stroke patients. We present the framework for integrated BMI and robotic-assisted therapies, and discuss their potential therapeutic, assistive and diagnostic functions in stroke rehabilitation. Finally, we conclude with an outlook on the potential challenges and future directions of these neurotechnologies, and their impact on clinical rehabilitation.
AB - Stroke is a leading cause of disability, significantly impacting the quality of life (QOL) in survivors, and rehabilitation remains the mainstay of treatment in these patients. Recent engineering and technological advances such as brain–machine interfaces (BMI) and robotic rehabilitative devices are promising to enhance stroke neurorehabilitation, to accelerate functional recovery and improve QOL. This review discusses the recent applications of BMI and robotic-assisted rehabilitation in stroke patients. We present the framework for integrated BMI and robotic-assisted therapies, and discuss their potential therapeutic, assistive and diagnostic functions in stroke rehabilitation. Finally, we conclude with an outlook on the potential challenges and future directions of these neurotechnologies, and their impact on clinical rehabilitation.
KW - Brain–machine interfaces
KW - Clinical trials
KW - Functional recovery
KW - Neuroplasticity
KW - Neurorehabilitation
KW - Robotic exoskeletons
KW - Robotic-assisted rehabilitation
KW - Stroke
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U2 - 10.1007/s40141-014-0051-4
DO - 10.1007/s40141-014-0051-4
M3 - Review article
AN - SCOPUS:84920133588
SN - 2167-4833
VL - 2
SP - 93
EP - 105
JO - Current Physical Medicine and Rehabilitation Reports
JF - Current Physical Medicine and Rehabilitation Reports
IS - 2
ER -